Category: Machine Learning

AI policy sets boundaries on acceptable behavior for AI models, but this is challenging in…

Embedding projections are popular for visualizing large datasets and models. However, people often encounter “friction”…

The growing use of generative models in daily life calls for efficient mechanisms to control…

We’re introducing a new logs and datasets feature in Google AI Studio.

machine learning continues to evolve faster than most can keep up with.

Recommendation systems in multi-stakeholder environments often require optimizing for multiple objectives simultaneously to meet supplier…

We’re rolling out changes to NotebookLM to make it fundamentally smarter and more powerful.

Large language models (LLMs) are not only good at understanding and generating text; they can…

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We propose that reinforcement learning (RL) from partial expert demonstrations is not merely a training…